iPhone 13 Pro
Geekbench AI Score
3231
Single Precision Score
5732
Half Precision Score
4649
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 16 2025 09:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1337
248.6 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.4 IPS |
|
|
Image Classification (Q)
|
96% |
1619
302.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2404
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6240
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
14275
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12122
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
1935
154.3 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
5570
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3110
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5163
39.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10405
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7293
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17248
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27818
35.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22737
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3633
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4293
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6323
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6432
111.2 IPS |
